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Record W7071094950

Právo na příznivé životní prostředí v českém právu a v právu Britské Kolumbie

2009· dissertation· en· W7071094950 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2009
Typedissertation
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
Fundersnot available
KeywordsCzechContext (archaeology)Scope (computer science)Work (physics)Variety (cybernetics)Environmental lawTerm (time)State (computer science)
DOInot available

Abstract

fetched live from OpenAlex

- 76 - SUMMARY RIGHT TO A HEALTHY ENVIRONMENT IN CZECH LAW AND IN THE LAW OF BRITISH COLUMBIA Master's degree dissertation compares right to a healthy environment in the Czech Republic and in British Columbia, a Canadian province, and makes this comparison upon a variety of standpoints. The work also broaches the environmental regulation in both these mentioned countries in general, as the regulation gives us the context in which the right in question is applied and enforced. The first part of the work is an introductory part that leads us into the area. The first part of work compares definition of fundamental terms related to the focus of this work between legal systems of the Czech Republic and British Columbia. The comparison shows the term "environment" is defined in both these countries quite similarly, but the term "healthy environment" is in none of these countries defined positively, but rather negatively, by enacting values and conditions under which environment can be declared unhealthy. The following part describes the development of legal regulation of environment and in that scope also the right to a healthy environment. The chapter shows that British Columbia, in its hundred years of modern history of legal protection of environment, developed into a phase where environmental law is basically...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.616
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.265
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueDigital Repository (National Repository of Grey Literature)Same topicEnvironmental law and policyFrench-language works237,207